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institution

Bureau of Labor Statistics

United States

16 papers here173 citations across 16
fields
  • stat.ME10
  • stat.AP4
  • econ.GN1
  • stat.CO1
ROR 03z2d7y96OpenAlex

affiliations via OpenAlex

output
20122022
most citedAnalyzing establishment nonresponse using an interpretable regression tree model with linked administrative data

46 citations

researchers with a paper here
  • T. Savitsky11 · h 16
  • Matthew R. Williams2 profiles8 · h 9
  • Jingchen Hu5 · h 11
  • Daniell Toth3 · h 11
  • J. Eltinge2 · h 15
  • Polly A. Phipps2 · h 10
  • Sanvesh Srivastava2 · h 15
  • Cheng Li1 · h 8
  • D. McCaffrey1 · h 65
  • Dominic A Smith1 · h 3
  • J. R. Lockwood1 · h 31
  • M. Cho1 · h 8
collaborating institutions
  • U.S. National Science FoundationUS7 papers
  • Vassar CollegeUS5 papers
  • National Center for Science and Engineering StatisticsUS3 papers
  • Amherst CollegeUS1 paper
  • Educational Testing ServiceUS1 paper
  • National University of SingaporeSG1 paper
  • RTI InternationalUS1 paper
  • University of California, Santa CruzUS1 paper
  • University of IowaUS1 paper
  • Western UniversityCA1 paper
Showing 2017Show all

1 paper · 1 filter

stat.ME2017★ 25 cited

A Divide-and-Conquer Bayesian Approach to Large-Scale Kriging

Rajarshi Guhaniyogi, Cheng Li, Terrance D. Savitsky +1

We propose a three-step divide-and-conquer strategy within the Bayesian paradigm that delivers massive scalability for any spatial process model. We partition the data into a large…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.